first--testing-ML-algorithms

Applied classification and clustering methods from machine learning techniques, using Python to detect abnormal security overflow.

If the code can not be opened, pls use https://nbviewer.jupyter.org/ to open it

Name	Name	Last commit message	Last commit date
Latest commit iremozen-edremit Update Cluster.ipynb Nov 20, 2018 c52d6c7 · Nov 20, 2018 History 7 Commits
.ipynb_checkpoints	.ipynb_checkpoints	gitML	Sep 30, 2018
data/KoreaIDS	data/KoreaIDS	gitML	Sep 30, 2018
1.ipynb	1.ipynb	Update 1.ipynb	Nov 18, 2018
1test-Anomaly Detection.ipynb	1test-Anomaly Detection.ipynb	Update 1test-Anomaly Detection.ipynb	Nov 20, 2018
2- kmeans.ipynb	2- kmeans.ipynb	Update 2- kmeans.ipynb	Nov 20, 2018
3!-DBSCAN-density.ipynb	3!-DBSCAN-density.ipynb	gitML	Sep 30, 2018
4-DBSCAM.ipynb	4-DBSCAM.ipynb	gitML	Sep 30, 2018
5-DBSCAM.ipynb	5-DBSCAM.ipynb	gitML	Sep 30, 2018
7!-DBSCAN.ipynb	7!-DBSCAN.ipynb	gitML	Sep 30, 2018
Cluster.ipynb	Cluster.ipynb	Update Cluster.ipynb	Nov 20, 2018
README.md	README.md	Create README.md	Oct 17, 2018
test1 for 1company.ipynb	test1 for 1company.ipynb	gitML	Sep 30, 2018

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